Robert - elists wrote:
Heh, in my case I really don't like having to re-train anything. I like
to be sure when I train that if I tell sa-learn that a mail is spam, it
is 100% spam. That's why I weekly collect spammy mail from a bunch of
trusted users and re filter it myself before passing it to sa-learn.
Diego and list,
Isn't the timeliness of the training of spam important?
Isn't spam trained immediately (close to realtime) more effective than spam
trained well after spammer mail runs?
It would even be more effective to train your bayes before spam is
received :) come on...
for me, the goal of bayes is to detect mail that is legitimate because
it resembles legitimate mail. the fact that spammers change their
practice doesn't matter because legitimate users do not.
of course, learning as fast as possible is helpful to block new spam.
but I am not going to watch my mailbox in real time just for that. This
would be worst then "hit delete button".
